Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis
Structural vibration analysis often involves evaluating power spectral density to understand vibration processes. However, these spectra typically include overlapping vibration modes, complicating the analysis of individual components. This study presents a method to separate vibration modes into di...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-09-01
|
| Series: | Journal of Low Frequency Noise, Vibration and Active Control |
| Online Access: | https://doi.org/10.1177/14613484251320234 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Structural vibration analysis often involves evaluating power spectral density to understand vibration processes. However, these spectra typically include overlapping vibration modes, complicating the analysis of individual components. This study presents a method to separate vibration modes into distinct components, simplifying structural vibration analysis. By combining maximal overlap discrete wavelet transform with fast Fourier transform, the composite vibration signal is decomposed into frequency-specific components. This approach enables precise analysis of individual vibration modes, facilitating the detection of those most sensitive to structural changes. Furthermore, the method effectively removes noise and irrelevant vibrations, enhancing the accuracy and reliability of structural evaluations. |
|---|---|
| ISSN: | 1461-3484 2048-4046 |